农业大数据学报2025，Vol.7Issue(3)：307-319,13.DOI:10.19788/j.issn.2096-6369.000107
基于Docker与Kubernetes技术的渠灌区高效用水管控平台的设计与应用
Design and Application of Efficient Water Control Platform for Channel Irrigation Area
摘要
Abstract
Backward irrigation methods,non-standard water management and weak water-saving consciousness lead to the obvious gap between the effective utilization coefficient of farmland irrigation water in China and that in developed countries.In this study,the microservice framework based on Docker and Kubernetes is used to solve the integration and application problems of key service modules such as iot systems with different development languages and operating environments,water scheduling algorithms for irrigation decision-making,and Web services.Centering on the key links of"water monitoring-intelligent decision-making-efficient regulation",the efficient water management and control platform of irrigation area was constructed.This paper introduces the platform's business logic,platform architecture,function realization method and other technical links,and completes the platform development.The application demonstration of the platform for efficient water use control in canal irrigation district was carried out in Heping Irrigation District of Heilongjiang Province.The analysis on the application effect of the platform showed that the application of the platform effectively reduced the manpower input of water monitoring and irrigation water,reduced the manpower cost by more than 60%,and increased the effective utilization coefficient of irrigation water in farmland by 19%.The model project of information-based irrigation management and control in canal irrigation district can be applied,replicated and promoted.关键词
渠灌区灌溉/微服务/灌溉决策/信息化管控/KubernetesKey words
irrigation in canal irrigation area/microservices/irrigation decision/information-based management and control/Kubernetes引用本文复制引用
张石锐,李腾,林萍,刘伟,魏一博..基于Docker与Kubernetes技术的渠灌区高效用水管控平台的设计与应用[J].农业大数据学报,2025,7(3):307-319,13.基金项目
兵团财政科技计划项目(2023AB060),北京市农林科学院重大学科培育项目:智慧灌溉关键技术装备及产业化. （2023AB060）
